Understanding Complex Quantum Dynamics Using Machine Learning
Event Start:
2019-09-12T16:00:00
Event End:
2019-09-12T17:00:00
Event Information:
In recent years, quantum experiments have become increasingly complicated, with modern experiments pushing the limits of even our best supercomputers to simulate. This increased complexity has made quantum devices challenging to model, which in turn makes them both difficult to control in quantum technologies and also exceedingly difficult to understand. In this talk, I will show how ideas from machine learning and statistical inference can be used to probe complex quantum systems. In particular, we will show how these methods can allow us to identify common pathologies in
Event Location:
Hennings 201
Speaker:
Nathan Wiebe (U Washington)
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Event Start:
2019-09-12T16:00:00
Event End:
2019-09-12T17:00:00
Understanding Complex Quantum Dynamics Using Machine Learning
Event Information:
In recent years, quantum experiments have become increasingly complicated, with modern experiments pushing the limits of even our best supercomputers to simulate. This increased complexity has made quantum devices challenging to model, which in turn makes them both difficult to control in quantum technologies and also exceedingly difficult to understand. In this talk, I will show how ideas from machine learning and statistical inference can be used to probe complex quantum systems. In particular, we will show how these methods can allow us to identify common pathologies in
Event Location:
Hennings 201